Regression coefficients from multiple robust linear models for the prediction of blood pressure at follow-up by DXA-derived measures, accounting for potential effects of age.

<p>Regression coefficients from multiple robust linear models for the prediction of blood pressure at follow-up by DXA-derived measures, accounting for potential effects of age.</p

Sample selection flow chart.

<p>Sample selection flow chart.</p

DXA-derived measures of body composition as predictors of hypertension at follow-up (n = 273).

<p>DXA-derived measures of body composition as predictors of hypertension at follow-up (n = 273).</p

Anthropometric-derived measures of body composition as predictors of hypertension at follow-up (n = 473).

<p>Anthropometric-derived measures of body composition as predictors of hypertension at follow-up (n = 473).</p

Subject characteristics at baseline and follow-up.

<p>Subject characteristics at baseline and follow-up.</p

Image_2_Measurement of body composition in postpartum South African women living with and without HIV infection.jpg

BackgroundWhile several methodologies are available to measure adiposity, few have been validated in sub-Saharan African (SSA) and none in postpartum African women living with HIV (WLHIV). We compared bioelectrical impendence analysis (BIA) and air displacement plethysmography (ADP) against dual x-ray absorptiometry (DXA) in South African women and examined differences by HIV and body mass index (BMI) status.MethodsLin’s concordance correlation coefficient (CCC) test was used to examine fat mass (FM), fat free mass (FFM), and total body fat percent (�) difference between BIA vs. DXA, and ADP vs. DXA in women living with HIV (n = 57) and without HIV (n = 25). The Bland Altman test was used to assess mean differences and the direction of bias.ResultsThe median age was 31 years (IQR, 26–35) and months postpartum were 11 (IQR, 7–16), 44% of the women had obesity. Lin’s CCC for BIA and ADP vs. DXA were both 0.80 for � and 0.97 for FM, and 0.86 and 0.80 for FFM, respectively. Mean differences (DXA-BIA and ADP estimates) were 0.22 ± 4.54% (p = 0.54) and 3.35 ± 3.27% (p ConclusionBody composition measurements using BIA and ADP correlated well with DXA, thereby providing alternative, safe tools for measuring postpartum FM and FFM in SSA women, including WLHIV.</p

Image_1_Measurement of body composition in postpartum South African women living with and without HIV infection.jpg

BackgroundWhile several methodologies are available to measure adiposity, few have been validated in sub-Saharan African (SSA) and none in postpartum African women living with HIV (WLHIV). We compared bioelectrical impendence analysis (BIA) and air displacement plethysmography (ADP) against dual x-ray absorptiometry (DXA) in South African women and examined differences by HIV and body mass index (BMI) status.MethodsLin’s concordance correlation coefficient (CCC) test was used to examine fat mass (FM), fat free mass (FFM), and total body fat percent (�) difference between BIA vs. DXA, and ADP vs. DXA in women living with HIV (n = 57) and without HIV (n = 25). The Bland Altman test was used to assess mean differences and the direction of bias.ResultsThe median age was 31 years (IQR, 26–35) and months postpartum were 11 (IQR, 7–16), 44% of the women had obesity. Lin’s CCC for BIA and ADP vs. DXA were both 0.80 for � and 0.97 for FM, and 0.86 and 0.80 for FFM, respectively. Mean differences (DXA-BIA and ADP estimates) were 0.22 ± 4.54% (p = 0.54) and 3.35 ± 3.27% (p ConclusionBody composition measurements using BIA and ADP correlated well with DXA, thereby providing alternative, safe tools for measuring postpartum FM and FFM in SSA women, including WLHIV.</p